Triple
T37359017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess Almaviva |
E927529
|
entity |
| Predicate | setInSocialContext |
P44645
|
FINISHED |
| Object | aristocratic society |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: aristocratic society | Statement: [Countess Almaviva, setInSocialContext, aristocratic society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInSocialContext Context triple: [Countess Almaviva, setInSocialContext, aristocratic society]
-
A.
laterSocialContext
Indicates that one social context or situation occurs after another in time.
-
B.
in-universeSocialContext
Indicates that the relationship or action occurs within the fictional world's own social norms, structures, and interactions, as they exist inside the narrative universe.
-
C.
sociallyIntegratedWith
Indicates that two entities are connected through meaningful social relationships, interactions, or participation within the same social context or community.
-
D.
socialClassContext
Indicates the social class or socioeconomic background within which an action, relationship, or situation occurs or is interpreted.
-
E.
socialSphere
chosen
Indicates the social environment or network within which an entity regularly interacts or maintains relationships.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.